Triple
T18341020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gossops Green |
E439399
|
entity |
| Predicate | hasNeighbourhoodNumber |
P113699
|
FINISHED |
| Object | one of the neighbourhoods of Crawley |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: one of the neighbourhoods of Crawley | Statement: [Gossops Green, hasNeighbourhoodNumber, one of the neighbourhoods of Crawley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNeighbourhoodNumber Context triple: [Gossops Green, hasNeighbourhoodNumber, one of the neighbourhoods of Crawley]
-
A.
hasNeighbourhood
Indicates that one entity is located within, or is associated with, a particular neighborhood area of another entity.
-
B.
hasNeighbourhoodStatus
Indicates that an entity has a particular status, classification, or condition specifically in relation to a given neighbourhood.
-
C.
hasNeighborhoodIdentity
Indicates that an entity possesses or is associated with a distinctive neighborhood-based character, culture, or identity.
-
D.
hasAreaNumber
chosen
Indicates that an entity is associated with a specific area identified by a numerical code.
-
E.
hasMunicipalDistrictNumber
Indicates that a municipality or local administrative unit is assigned a specific district number within its municipal structure.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ed146fc819092b08cb91defb03b |
completed | April 19, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69e44fe91bc08190906518e1b120fcf0 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:37 a.m.